Cancer Pathways Research Articles

Development of a Diagnostic Model for Pancreatic Ductal Adenocarcinoma Using Machine Learning and Blood-Based miRNAs

Introduction: Pancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate among all major cancers due to a lack of symptoms in early stages, early detection tools, and optimal therapies for late-stage patients. Thus, effective and non-invasive diagnostic tests are greatly needed. Recently, circulating miRNAs have been reported to be altered in PDAC. They are promising biomarkers because of stability in the blood, ease of non-invasive detection, and convenient screening methods. This study aimed to use blood-based miRNA biomarkers and various analysis methods in the development of a machine-learning (ML) model for PDAC. Methods: Blood-based miRNAs associated with PDAC were collected from open sources. miRNA sequences, targeted genes, and involved pathways were used to construct a set of descriptors for an ML model. Results: Bioinformatics analysis revealed that most genes in pancreatic cancer and insulin signaling pathways were targeted by the PDAC-related miRNAs. The best-performing ML model with the Random Forest classifier was able to achieve an accuracy of 88.4%. Model evaluations of an independent PDAC-associated miRNAs test set had 100% accuracy while non-cancer miRNAs had 52.4% accuracy, indicating specificity to PDAC. Conclusions: Our results suggest an ML model developed using blood-based miRNA biomarkers’ target gene, pathway, and sequence features could be potentially implicated in PDAC diagnostics.

SPRED3 regulates the NF-κB signaling pathway in thyroid cancer and promotes the proliferation

SPRED3 (Sprouty-related EVH1 domain containing 3) mutants are depicted in various cancers, however, nothing is known about its biofunction in thyroid cancer (THCA). Bioinformatic analyses were conducted to ascertain the level of SPRED3 expression in THCA tissues and its importance in the prognosis of THCA patients. Flag-SPRED3 plasmid and SPRED3-knockout vector were developed to overexpress or deplete the SPRED3 expression in THCA cells. The function of SPRED3 on THCA cell proliferation was examined using the colony formation assay and CCK8 assay. The effect of SPRED3 expression on the transcriptional activity of NF-κB was also examined using luciferase reporter assays. High SPRED3 expression was associated with unfavorable clinical outcomes, advanced tumor characteristics, and traditional molecular markers of papillary thyroid cancer in THCA patients. Genetic analysis revealed differences in mutation rates in key genes between SPRED3-high and SPRED3-low THCA cases. It is also revealed that SPRED3 influenced the immune microenvironment, with increased stromal and immune scores and altered immune cell infiltration. Functionally, SPRED3 overexpression enhanced THCA cell viability and colony formation, while its depletion reduced cell growth and proliferation. In vivo experiments in mice confirmed the inhibitory effect of SPRED3 depletion on tumor growth. Mechanically, we found that SPRED3 activated the NF-κB signaling. For the first time, we found that SPRED3 promotes THCA cell proliferation via the NF-κB signaling pathway. This finding may provide insight into SPRED3’s prognostic potential in thyroid cancer and provide the rationale for SPRED3-targeted druggable interventions.

PIM1 kinase promotes EMT-associated osimertinib resistance via regulating GSK3β signaling pathway in EGFR-mutant non-small cell lung cancer

Acquired resistance is inevitable in the treatment of non-small cell lung cancer (NSCLC) with osimertinib, and one of the primary mechanisms responsible for this resistance is the epithelial-mesenchymal transition (EMT). We identify upregulation of the proviral integration site for Moloney murine leukemia virus 1 (PIM1) and functional inactivation of glycogen synthase kinase 3β (GSK3β) as drivers of EMT-associated osimertinib resistance. Upregulation of PIM1 promotes the growth, invasion, and resistance of osimertinib-resistant cells and is significantly correlated with EMT molecules expression. Functionally, PIM1 suppresses the ubiquitin-proteasome degradation of snail family transcriptional repressor 1 (SNAIL) and snail family transcriptional repressor 2 (SLUG) by deactivating GSK3β through phosphorylation. The stability and accumulation of SNAIL and SLUG facilitate EMT and encourage osimertinib resistance. Furthermore, treatment with PIM1 inhibitors prevents EMT progression and re-sensitizes osimertinib-resistant NSCLC cells to osimertinib. PIM1/GSK3β signaling is activated in clinical samples of osimertinib-resistant NSCLC, and dual epidermal growth factor receptor (EGFR)/PIM1 blockade synergistically reverse osimertinib-resistant NSCLC in vivo. These data identify PIM1 as a driver of EMT-associated osimertinib-resistant NSCLC cells and predict that PIM1 inhibitors and osimertinib combination therapy will provide clinical benefit in patients with EGFR-mutant NSCLC.

Identification of significant biomarkers for predicting the risk of bipolar disorder with arteriosclerosis based on integrative bioinformatics and machine learning.

Increasing evidence has indicated a connection between bipolar disorder (BD) and arteriosclerosis (AS), yet the specific molecular mechanisms remain unclear. This study aims to investigate the hub genes and molecular pathways for BD with AS. BD-related dataset GSE12649 were downloaded from the Gene Expression Omnibus database and differentially expressed genes (DEGs) and key module genes derived from Limma and weighted gene co-expression network analyses (WGCNA) were identified. AS-related genes were sourced from the DisGeNET database, and the overlapping genes between DEGs and AS-related genes were characterized as differentially expressed arteriosclerosis-related genes (DE-ASRGs). The functional enrichment analysis, protein-protein interaction (PPI) network and three machine learning algorithms were performed to explore the hub genes, which were validated with two external validation sets. Additionally, immune infiltration was performed in BD. Overall, 67 DE-ASRGs were found to be overlapping between the DEGs and AS-related genes. Functional enrichment analysis highlighted the cancer pathways between BD and AS. We identified seven candidate hub genes (CTSD, IRF3, NPEPPS, ST6GAL1, HIF1A, SOX9 and CX3CR1). Eventually, two hub genes (CX3CR1 and ST6GAL1) were identified as BD and AS co-biomarkers by using machine learning algorithms. Immune infiltration had revealed the disorder of immunocytes. This study identified the hub genes CX3CR1 and ST6GAL1 in BD and AS, providing new insights for further research on the bioinformatic mechanisms of BD with AS and contributing to the diagnosis and prevention of AS in psychiatric clinical practice.

Uncovering the mechanisms of diosmin in treating obesity-related kidney injury based on network pharmacology, molecular docking, and in vitro validation.

Obesity increases the risk of kidney injury, involving various pathological events such as inflammation, insulin resistance, lipid metabolism disorders, and hemodynamic changes, making it a significant risk factor for the development and progression of chronic kidney disease. Diosmin, a natural flavonoid glycoside, exhibits anti-inflammatory, antioxidant, anti-lipid, and vasodilatory effects. However, whether diosmin has a protective effect on obesity-related kidney injury remains unclear. The molecular formula of diosmin was obtained, and diosmin and target genes related to obesity-related kidney injury were screened. The interaction between overlapping target genes was analyzed. GO functional enrichment and KEGG pathway enrichment analyses were performed on overlapping target genes. Molecular docking was employed to assess the binding strength between overlapping target genes. Palmitic acid-induced damage to HK-2 cells, which were then treated with diosmin. Subsequently, the expression levels of relevant mRNAs and proteins were measured. Network analysis identified 219 potential diosmin target genes, 6800 potential target genes related to obesity-related kidney injury, and 93 potential overlapping target genes. Protein-protein interaction networks and molecular docking results revealed that AKT1, TNF-α, SRC, EGFR, ESR1, CASP3, MMP9, PPAR-γ, GSK-3β, and MMP2 were identified as key therapeutic targets, and they exhibited stable binding with diosmin. GO analysis indicated that these key targets may participate in inflammation, chemical stress, and protein phosphorylation. KEGG revealed that pathways in cancer, AGE-RAGE signaling pathway, PI3K-AKT signaling pathway, PPAR signaling pathway, and insulin resistance as crucial in treating obesity-related kidney injury. CCK-8 assay showed that diosmin significantly restored the viability of HK-2 cells affected by palmitic acid. Oil Red O staining demonstrated that diosmin significantly improved lipid deposition in HK-2 cells induced by palmitic acid. PCR results showed that diosmin inhibited the mRNA levels of AKT1, TNF-α, EGFR, ESR1, CASP3, MMP9, GSK-3β, and MMP2 while promoting the mRNA level of PPAR-γ. Western blot analysis revealed that diosmin restored PPAR-γ protein expression, inhibited NF-kB p-p65 protein expression, and reduced TNF-α protein expression. Diosmin demonstrated multi-target and multi-pathway effects in the treatment of obesity-associated renal injury, with key targets including AKT1, TNF-α, EGFR, ESR1, CASP3, MMP9, PPAR-γ, GSK-3β, and MMP2. The mechanism may be through the modulation of the PPAR-γ/NF-κB signaling pathway, which can attenuate inflammatory responses and protect the kidney.

BET inhibitors (BETi) influence oxidative phosphorylation metabolism by affecting mitochondrial dynamics leading to alterations in apoptotic pathways in triple-negative breast cancer (TNBC) cells.

Repressing BET proteins' function using bromodomain inhibitors (BETi) has been shown to elicit antitumor effects by regulating the transcription of genes downstream of BRD4. We previously showed that BETi promoted cell death of triple-negative breast cancer (TNBC) cells. Here, we proved that BETi induce altered mitochondrial dynamics fitness in TNBC cells falling in cell death. We demonstrated that BETi treatment downregulated the expression of BCL-2, and proteins involved in mitochondrial fission and increased fused mitochondria. Impaired mitochondrial fission affected oxidative phosphorylation (OXPHOS) inducing the expression of OXPHOS-related genes, SDHa and ATP5a, and increased cell death. Consistently, the amount of mitochondrial DNA and mitochondrial membrane potential (∆Ψm) increased in BETi-treated cells compared to control cells. Lastly, BETi in combination with Metformin reduced cell growth. Our results indicate that mitochondrial dynamics and OXPHOS metabolism support breast cancer proliferation and represent novel BETi downstream targets in TNBC cells.

Metabolic ripple effects - deciphering how lipid metabolism in cancer interfaces with the tumor microenvironment.

Cancer cells require a constant supply of lipids. Lipids are a diverse class of hydrophobic molecules that are essential for cellular homeostasis, growth and survival, and energy production. How tumors acquire lipids is under intensive investigation, as these mechanisms could provide attractive therapeutic targets for cancer. Cellular lipid metabolism is tightly regulated and responsive to environmental stimuli. Thus, lipid metabolism in cancer is heavily influenced by the tumor microenvironment. In this Review, we outline the mechanisms by which the tumor microenvironment determines the metabolic pathways used by tumors to acquire lipids. We also discuss emerging literature that reveals that lipid availability in the tumor microenvironment influences many metabolic pathways in cancers, including those not traditionally associated with lipid biology. Thus, metabolic changes instigated by the tumor microenvironment have 'ripple' effects throughout the densely interconnected metabolic network of cancer cells. Given the interconnectedness of tumor metabolism, we also discuss new tools and approaches to identify the lipid metabolic requirements of cancer cells in the tumor microenvironment and characterize how these requirements influence other aspects of tumor metabolism.

Profiles of differential expression of miRNAs in the late stage of red blood cell preservation and their potential roles

ObjectiveTo detect the differentially expressed regulatory miRNAs in the late stage of red blood cell (RBC) preservation and predict their roles. MethodsSuspended RBCs with different storage periods of 35 day, 42 day, and 50 day were collected for routine blood tests, RNA extraction, and preparation of small RNA sequencing libraries. The constructed libraries were sequenced and the biological functions of differential miRNAs in RBCs in the late storage were analyzed by bioinformatics. ResultsRoutine indicators of RBCs in the late stage were not significantly affected by preservation time. The Pearson correlation analysis performing on RBC miRNAs with different storage days revealed that RBC miRNAs changed with the increase of storage days. RBC miRNAs from day 35 (D35), day 42 (D42) and day 50 (D50) showed significant differences (P < 0.05). Compared RBC miRNAs from D42 with these from D35, there were 690 up-regulated miRNAs and 82 down-regulated miRNAs; compared RBC miRNAs from D50 with these from D35, there were 638 up-regulated miRNAs and 123 down-regulated miRNAs; compared RBC miRNAs from D42 with these from D50, there were 271 up-regulated miRNAs and 515 down-regulated miRNAs. GO enrichment analysis of target genes of differential miRNAs were mainly involved in cell metabolism, biosynthesis, protein modification, gene expression and transcriptional regulation of biological processes. KEGG pathway enrichment analysis of miRNA target genes showed that differential miRNA target genes were closely related to pathways in cancer. ConclusionMiRNAs were differentially expressed in the late stage of RBC preservation, and may be involved in various biological processes, especially cancer.

Network Subgraph-based Method: Alignment-free Technique for Molecular Network Analysis

Background: Comparing directed networks using the alignment-free technique offers the advantage of detecting topologically similar regions that are independent of the network size or node identity. Objective: We propose a novel method to compare directed networks by decomposing the network into small modules, the so-called network subgraph approach, which is distinct from the network motif approach because it does not depend on null model assumptions. Methods: We developed an alignment-free algorithm called the Subgraph Identification Algorithm (SIA), which could generate all subgraphs that have five connected nodes (5-node subgraph). There were 9,364 such modules. Then, we applied the SIA method to examine 17 cancer networks and measured the similarity between the two networks by gauging the similarity level using Jensen- Shannon entropy (HJS). Results: We identified and examined the biological meaning of 5-node regulatory modules and pairs of cancer networks with the smallest HJS values. The two pairs of networks that show similar patterns are (i) endometrial cancer and hepatocellular carcinoma and (ii) breast cancer and pathways in cancer. Some studies have provided experimental data supporting the 5-node regulatory modules. Conclusion: Our method is an alignment-free approach that measures the topological similarity of 5-node regulatory modules and aligns two directed networks based on their topology. These modules capture complex interactions among multiple genes that cannot be detected using existing methods that only consider single-gene relations. We analyzed the biological relevance of the regulatory modules and used the subgraph method to identify the modules that shared the same topology across 2 cancer networks out of 17 cancer networks. We validated our findings using evidence from the literature.

Fufang E’jiao Jiang’s effect on immunity, hematopoiesis, and angiogenesis via a systematic “compound-effect-target” analysis

Fufang E’jiao Jiang (FEJ) as a healthy food consisting of medicine food homology materials approved by China’s Ministry of Health has been extensively applied to replenish qi and nourish blood, and it has a positive impact on women’s health. To find out the material basis and mechanism of FEJ, a systematic “compound-effect-target” analysis including chemical composition resolution, zebrafish, network pharmacology, molecular docking, transcriptome, and bibliometric analysis was adopted. 124 chemical components including ginsenosides, and phenylethanoid glycosides in FEJ were discovered, and effects of FEJ on promoting the generation of immune cells, erythropoiesis and angiogenesis in zebrafish were exhibited. Based on network pharmacology, molecular docking and in vivo activity assay, 6 compounds including jionoside A1, isoacteoside, echinacoside, acteoside, lobetyolin, and rehmannioside D were identified as active components of FEJ. Transcriptome data showed that several pathways such as complement and coagulation cascades, ECM-receptor interaction, and PI3K-Akt signaling pathway were associated with proangiogenic effect of FEJ. 19 common targets were obtained through combined analysis of network pharmacology and transcriptomics, and 5 targets of them were verified by PCR. The bibliometric analysis of these common targets revealed that FEJ was related to energy metabolism, pathway in cancer, etc., which was consistent with the results of network pharmacology and transcriptome. The studies suggested that FEJ could replenish qi and nourish blood through multi-compound and multi-targets.

Jaranol Loaded in Ferroferric Oxide Nanoparticles Inhibits the Activities of Liver Cancer Cell Through Mitogen-Activated Protein Kinase/Extracellular Signal-Regulated Kinase Signaling Pathway

Liver cancer is highly aggressive and the MEK/ERK signaling regulates tumor cell proliferation and metastasis. Jaranol is a natural product with anti-proliferative and anti-metastatic effects in several tumors. However, its interaction with the MEK/ERK pathway in liver cancer is unclear. This study explores whether ferroferric oxide nanoparticles-loaded Jaranol inhibits proliferation and metastasis in liver cancer cell Hep3B by regulating MEK/ERK signaling, and its underlying mechanism. Fe3O4-Jaranol nanoparticles were prepared and used in Hep3B experiments to observe the biological efficacy of Fe3O4-Jaranol, and further explore its effect and mechanism on the MEK/ERK pathway using PCR, WB, etc. Fe3O4-Jaranol were successfully prepared with a certain tumor suppressor effect in liver cancer. The expression of MEK/ERK was increased in liver cancer. Inhibiting its pathway activity suppressed the development of liver cancer. Trametinib and C16-PAF were used to inhibit Hep3B respectively. MEK expression in cells treated with Trametinib was reduced accompanied by a low expression of ERK, while the expression of MEK and ERK levels in the C16-PAF group showed an opposite trend, indicating that Trametinib, C16-PAF successfully intervened on MEK and ERK. Further analysis of the activity of Hep3B cells found that the proliferation ability of the Trametinib group was significantly inhibited. Fe3O4-Jaranol significantly inhibited liver cancer cell Hep3B and this effect was accomplished by inhibiting MEK/ERK signaling, causing tumor cell proliferation to be restricted and reducing the ability to metastasize. This research result provides strong evidence for a deep understanding of the mechanism of Jaranol in treating liver cancer, so as to better guide clinical practice.

Phenolic Contents, Antioxidant Activities, LCMS Profiles of Mespilus germanica Leaf Extract and Effects on mRNA Transcription Levels of Apoptotic, Autophagic, and Necrotic Genes in MCF7 and A549 Cancer Cell Lines.

Cancer, defined by the continuous, uncontrollable proliferation of cells in the human body, is a disease with a rapidly increasing incidence and mortality rate. Scientists are looking for novel ways to cure and prevent this sneaky disease because of the toxicity of contemporary chemotherapy and the cancer cells' resilience to anticancer drugs. Determining the effect of herbal medicines, which do not have as harmful side effects as synthetic drugs, on cancer cell lines is an essential preliminary study in the production of effective drugs against cancer. In this study, the phenolic acid profile, antioxidant capacity, and cytotoxicity of the medicinal plant Mespilus germanica (MG) leaf extract were determined, and its effects on the expression of some apoptotic, necrotic, and autophagic pathway genes of MCF7 (Human breast cancer line) and A549 (Human lung cancer line) and healthy HDF (Human Dermal Fibroblasts) cells were investigated for the first time. The LCMS device detected many important phenolic compounds previously reported to act against cancer cells in Mespilus germanica leaf extract. DPPH and total phenolic content showed high antioxidant capacity. The cytotoxicity of MG was determined by the MTT method. The levels of mRNA transcription for Atg5, Atg3, Rıpk1, Bcl2, Bax, Apaf1, Caspase-8, Caspase-7, Caspase-3, and Caspase-9, as well as the expression patterns of the DNA damage markers P53 and Parp-1 genes, were assessed. MG leaf extract did not cause significant toxicity against healthy HDF cells. However, it had a cytotoxic effect on A549 and MCF7 cancer cell lines, increasing the transcription levels of essential genes involved in cell death mechanisms. This research is the first to analyze the phenolic components and antioxidant capabilities of leaf extracts from Mespilus germanica. Additionally, it investigates the impact of these extracts on crucial genes involved in cell death pathways of A549 lung cancer, MCF7 breast cancer, and non-cancerous HDF (Human Dermal Fibroblasts) cells.

LRRC45 promotes lung cancer proliferation and progression by enhancing c-MYC, slug, MMP2, and MMP9 expression

BackgroundThe leucine-rich repeat-containing (LRRC) superfamily members are known for their significant roles in tumorigenesis and cellular proliferation. However, the specific regulatory role of LRRC45 in lung cancer remains unexplored. This study investigated the impact and underlying mechanisms of LRRC45 on the proliferative, migratory, and invasive capacities of lung adenocarcinoma (LUAD) cells, potentially identifying new targets for therapeutic intervention. Material and methodsThe importance of LRRC45 in lung cancer was analyzed using the online databases of UCSC Xena, TCGA, TISIDB, and UALCAN, whereas to detect target gene expression, we used the qRT-PCR, Western blot, and immunofluorescence confocal. The cell growth was monitored by colony formation assay and migration was examined by cell migration assay. Finally, a xenograft mouse tumor model using A549 ​cells was used to explore the in vivo effect of LRRC45 in lung cancer. ResultsInhibition of LRRC45 expression led to a notable decrease in proliferation, migration, and invasion of A549 and H1299 ​cells. LRRC45 silencing significantly reduced the tumor volume and improved the mice's survival. Additionally, inhibition of LRRC45 expression dramatically suppressed c-MYC, Slug, MMP2, and MMP9 expression. Overexpression of c-MYC and/or Slug in the LRRC45-deficient cells can partially or totally restore the LRRC45 deficiency-suppressed growth. Moreover, the overexpression of MMP2 and/or MMP9 could partially or totally restore LRRC45 deficiency-reduced cell metastasis. ConclusionsLRRC45 could promote the proliferative, migrative, and invasive capacities of lung cancer cells by increasing c-MYC, Slug, MMP2, and MMP9 expression, indicating the therapeutic implications and potential significance of these pathways in lung cancer.

Inhibition of the NF-κB/HIF-1α signaling pathway in colorectal cancer by tyrosol: a gut microbiota-derived metabolite

BackgroundThe development and progression of colorectal cancer (CRC) are influenced by the gut environment, much of which is modulated by microbial-derived metabolites. Although some research has been conducted on the...

Network pharmacology prediction and molecular docking analysis on the mechanism of eugenol as a candidate against estrogen receptor-positive breast cancer

Context: Breast cancer therapy currently presents several uncomfortable side effects in patients, including effects on non-malignant tissues, recurrence, and resistance, which restrict their utilization. Consequently, researchers have directed their attention toward studying plant-derived anticancer compounds that exhibit high efficacy and safety profiles. Eugenol, a major component found in clove plants, demonstrates promising potential as a therapeutic agent for both estrogen receptor-positive and estrogen receptor-negative breast cancer. Aims: To predict the target of eugenol in estrogen receptor–positive breast cancer using network pharmacology and molecular docking analyses. Methods: Network pharmacology analysis was performed using the Chemical Toxigenomic Database, STITCH, GeneCards, Cytoscape, Enrichr, and Stringdb. Subsequently, molecular docking was performed using protein targets obtained from the RCSB-PDB and analyzed using AutoDock software. Results: Network pharmacology study and molecular docking revealed the anticancer effect of eugenol against breast cancer estrogen receptor–positive, especially in cancer and apoptotic pathways, by acting on caspase-3 (CASP3), epidermal growth factor receptor (EGFR), and poly [ADP-ribose] polymerase 1 (PARP1) signaling pathways. The docking results between the protein targets and eugenol showed that eugenol has the strongest binding with CASP3 (ligand binding energy: -5.78 kcal/mol), followed by eugenol binding with EGFR (ligand binding energy: -5.58 kcal/mol), and eugenol binding with PARP1 (ligand binding energy: -5.58 kcal/mol). Conclusions: Eugenol is a potential candidate for breast cancer therapy, especially for apoptosis mediated by CASP3 in breast cancer luminal A.

Integrative analysis of the role of the DPH gene family in hepatocellular carcinoma and expression validation.

The diphthamide (DPH) gene family is a group of genes that encode a set of enzymes that specifically modify eukaryotic elongation factor 2 (eEF2). Although previous studies have shown a link between the DPH genes (DPHs) and carcinogenesis, it is still unknown how the DPHs affect hepatocellular carcinoma (HCC). This study aimed to describe the expression, clinical significance, and potential mechanisms of DPHs in HCC. Real-time quantitative polymerase chain reaction (RT-qPCR), Genotype-Tissue Expression (GTEx), and The Cancer Genome Atlas (TCGA) databases were utilized to research the expression of DPHs in HCC. The relationship between the expression of DPHs and the clinicopathological characteristics of HCC patients was investigated using TCGA data, and their diagnostic value was evaluated using receiver operating characteristic (ROC) curves and their prognostic value was analyzed using Kaplan-Meier curves and univariate and multivariate Cox regression analyses. Potential reasons for the upregulation of DPH2 and DPH3 (DPH2,3) expression in HCC were analyzed using multiple databases. Additionally, this study also explored the potential biological functions of DPH2,3 in HCC via gene sets enrichment analysis (GSEA). Correlation analysis of DPH2,3 expression with immune-related genes and immune checkpoints was performed using Spearman's correlation analysis, and single-sample GSEA was used to assess the distribution of tumor-infiltrating immune cell types. DPH1,7 expression was downregulated in tumor tissues while DPH2,3,5,6 expression was upregulated and showed a similar expression pattern in HCC. The results of the ROC analysis suggested that DPHs had valuable diagnostic properties in HCC. Kaplan-Meier analysis demonstrated that DPH2,3,7 had prognostic predictive value in HCC. Furthermore, univariate and multivariate Cox regression suggested that DPH2,3 was an independent predictive factor for HCC. GSEA analysis revealed that DPH2,3 might be tightly associated with Pathways in cancer, cell cycles, Fc gamma R mediated phagocytosis, etc. Additionally, DPH2,3 expression and numerous immune-related genes showed a positive connection, including chemokines receptor genes, immunosuppressive genes, chemokines genes, human leukocyte antigen (HLA) genes, and immunostimulatory genes. Further analysis of the association between 24 immune infiltrating cells and DPH2,3 revealed the greatest negative correlation between natural killer (NK) cells and Th17 cells, but the greatest positive correlation with Th2 cells. DPHs significantly influence the development and progression of HCC. DPH2,3 has significant diagnostic and prognostic potential and may be a promising target for immunotherapy.

Exploring the environmental contamination toxicity and potential carcinogenic pathways of perfluorinated and polyfluoroalkyl substances (PFAS): An integrated network toxicology and molecular docking strategy

The objective of this study was to investigate the potential carcinogenic toxicity and mechanisms of PFAS in thyroid, renal, and testicular cancers base on network toxicology and molecular docking techniques. Structural modeling was performed to predict relevant toxicity information, and compounds and cancer-related targets were screened in multiple databases. The interaction of PFAS with three cancers and their key protein targets were explored by combining protein network analysis, enrichment analysis and molecular docking techniques. PFOA, PFOS, and PFHXS exhibited significant carcinogenic and cytotoxic effects. These compounds may induce cancer by mediating active oxygen metabolism and the transduction of phosphatidylinositol 3-kinase/protein kinase B signaling pathway through genes such as ALB, mTOR, MDM2, and ERBB2. Furthermore, the underlying toxic mechanisms may be linked to the pathways in cancer, chemical carcinogenesis through reactive oxygen species/receptor activation, and the FoxO signaling pathway. The results contribute to a comprehensive understanding of the effects of these environmental pollutants on genes, proteins, and metabolic pathways in living organisms. It revealed their toxicity mechanisms in inducing thyroid, renal, and testicular cancers, and provided a solid theoretical foundation for designing new environmental control strategies and drug screening initiatives. Additionally, the integrated application of network toxicology and molecular docking technology can enhance our understanding of the toxicity and mechanisms of unknown environmental pollutants, which is beneficial for protecting the environment and human health.

Targeting endocytosis to sensitize cancer cells to programmed cell death.

Evading programmed cell death (PCD) is a hallmark of cancer that allows tumor cells to survive and proliferate unchecked. Endocytosis, the process by which cells internalize extracellular materials, has emerged as a key regulator of cell death pathways in cancer. Many tumor types exhibit dysregulated endocytic dynamics that fuel their metabolic demands, promote resistance to cytotoxic therapies, and facilitate immune evasion. This review examines the roles of endocytosis in apoptotic resistance and immune escape mechanisms utilized by cancer cells. We highlight how inhibiting endocytosis can sensitize malignant cells to therapeutic agents and restore susceptibility to PCD. Strategies to modulate endocytosis for enhanced cancer treatment are discussed, including targeting endocytic regulatory proteins, altering membrane biophysical properties, and inhibiting Rho-associated kinases. While promising, challenges remain regarding the specificity and selectivity of endocytosis-targeting agents. Nonetheless, harnessing endocytic pathways represents an attractive approach to overcome apoptotic resistance and could yield more effective therapies by rendering cancer cells vulnerable to PCD. Understanding the interplay between endocytosis and PCD regulation is crucial for developing novel anticancer strategies that selectively induce tumor cell death.

The chromosome level genome assembly of the Asian green mussel, Perna viridis

The Asian green mussel, Perna viridis is an important aquaculture species in the family Mytilidae contributing substantially to molluscan aquaculture. We generated a high-quality chromosome level assembly of this species by combining PacBio single molecule sequencing technique (SMRT), Illumina paired-end sequencing, high-throughput chromosome conformation capture technique (Hi-C) and Bionano mapping. The final assembly resulted in a genome of 723.49 Mb in size with a scaffold N50 of 49.74 Mb with 99% anchored into 15 chromosomes. A total of 49654 protein-coding genes were predicted from the genome. The presence of 634 genes associated with the cancer pathway and 408 genes associated with viral carcinogenesis indicates the potential of this species to be used as a model for cancer studies. The chromosome-level assembly of this species is also a valuable resource for further genomic selection and selective breeding for improving economically important aquaculture traits and augmenting aquaculture productivity.

Tubeimoside-I, an inhibitor of HSPD1, enhances cytotoxicity of oxaliplatin by activating ER stress and MAPK signaling pathways in colorectal cancer

Ethnopharmacological relevanceTubeimoside-I (TBM) promotes various cancer cell death by increasing the reactive oxygen species (ROS) production. However, the specific molecular mechanisms of TBM and its impact on oxaliplatin-mediated anti-CRC activity are not yet fully understood. Aim of the studyTo elucidate the therapeutic effect and underlying molecular mechanism of TBM on oxaliplatin-mediated anti-CRC activity. Materials and methods3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), colony formation, wound healing assays and flow cytometry were conducted to investigate the changes in cell phenotypes and ROS generation. Real-time quantitative PCR (qRT-PCR) and western blotting were performed to detect the expressions of related mRNA and proteins. Finally, mouse xenograft models demonstrated that synergistic anti-tumor effects of combined treatment with TBM and oxaliplatin. ResultsThe synergistic enhancement of the anti-tumor effects of oxaliplatin in colon cancer cells by TBM involved in the regulation of ROS-mediated endoplasmic reticulum (ER) stress, C-jun-amino-terminal kinase (JNK), and p38 MAPK signaling pathways. Mechanistically, TBM increased ROS generation in colon cancer cells by inhibiting heat shock protein 60 (HSPD1) expression. Knocking down HSPD1 increased TBM-induced antitumor activity and ROS generation in colon cancer cells. The mouse xenograft tumor models further validated that the combination therapy exhibited stronger anti-tumor effects than monotherapy alone. ConclusionsCombined therapy with TBM and oxaliplatin might be an effective therapeutic strategy for some CRC patients.